A data-driven approach to predicting band gap, excitation, and emission energies for Eu<sup>2+</sup>-activated phosphors
Chaewon Park, Jin-Woong Lee, Minseuk Kim, Byung Do Lee, Satendra Pal Singh, Woon Bae Park, Kee‐Sun Sohn
Abstract
An integrated ML model platform is developed to predict the peak emission wavelength (PEW), excitation band edge wavelength (EBEW), and band gap ( E g ) from structural, elemental, chemical, and physical descriptors of Eu 2+ -activated phosphors.
Topics & Concepts
PhosphorExcitationExcitation wavelengthWavelengthBand gapMaterials scienceEnhanced Data Rates for GSM EvolutionAtomic physicsAnalytical Chemistry (journal)ChemistryPhysicsOptoelectronicsTelecommunicationsComputer scienceQuantum mechanicsChromatographyLuminescence Properties of Advanced MaterialsRadiation Detection and Scintillator TechnologiesRadioactive element chemistry and processing